Soft connection based vibration reduction for an autonomous ocean turbulence measurement platform

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (22) : 82-88.

NIE Yunli1，LUAN Xin1，SONG Dalei2，GAO Qi2，YANG Hua1

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Abstract

As a mobile autonomous ocean observation platform, the AUV (autonomous underwater vehicle) has the advantage of long endurance, large range and being free from sea condition.Its integration with turbulence sensors can realize the four-dimensional observation of turbulence mixing in space and time, which provides a new way to reveal the role of turbulence mixing in the evolution of multi-scale dynamic process.Focusing on the vibration noise on the AUV turbulence measurement platform, the work bases on the principle of turbulence measurement, analyzes the influence of vibration noise on turbulence measurement, as well as identifies the source and characteristics of the vibration noise on the AUV.In order to reduce the vibration noise on the AUV and improve the measurement accuracy of turbulence, a flexible connection vibration damping method based on an extension spring was proposed, and the corresponding vibration test was carried out.By comparing and analyzing the time-frequency domain characteristics of the vibration acceleration before and after adding vibration damping, the results show that the effective value and energy of the vibration acceleration are significantly reduced, especially when the vibration is above 54 Hz, the reduction rate is more than 64%, which verifies the validity of the method.

Key words

autonomous underwater vehicle (AUV) / micro-structure turbulence / measurement accuracy / flexible connection damping / vibration test

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NIE Yunli1，LUAN Xin1，SONG Dalei2，GAO Qi2，YANG Hua1. Soft connection based vibration reduction for an autonomous ocean turbulence measurement platform[J]. Journal of Vibration and Shock, 2020, 39(22): 82-88

References

[1] 陈朝晖,吴立新.物理海洋观测研究的进展与挑战[J].地球科学进展, 2013, Issue(5).
CHEN Zhao-hui, WU Li-xin. Progresses and challenges in observational studies of physical oceanography［J］．Advances in Earth Science，2013，28( 5) : 542-551．
[2] Kunze E, Firing E, Hummon J M, et al. Global Abyssal Mixing Inferred from Lowered ADCP Shear and CTD Strain Profiles[J]. Journal of Oceanography, 2006, 36(8):1553-1576.
[3] Goodman L, Wang Z. Turbulence Observations in the Northern Bight of Monterey Bay from a Small AUV[J]. Journal of Marine Systems, 2009, 77(4):441-458.
[4] Prandke H , Stips A . Test measurements with an operational microstructure-turbulence profiler: Detection limit of dissipation rates[J]. Aquatic Sciences, 1998, 60(3):191-209.
[5] Lueck R G, Wolk F, Yamazaki H. Oceanic Velocity Microstructure Measurements in the 20th Century[J]. Journal of Oceanography, 2002, 58(1):153-174.
[6] 阎述学, 李一平, 封锡盛. 一种基于高斯过程回归的AUV自适应采样方法[J]. 机器人, 2019, 41(2):232-241.
YAN Shu-xue, LI Yi-ping，FENG Xi-sheng. An AUV Adaptive Sampling Method Based on Gaussian Process Regression[J]. ROBOT, 2019, 41(2):232-241.
[7] Fisher A W , Nidzieko N J , Scully M E , et al. Turbulent Mixing in a Far-Field Plume during the Transition to Upwelling Conditions: Microstructure Observations from an AUV.[J]. Geophysical Research Letters, 2018.
[8] Levine E R, Lueck R G. Turbulence Measurement from an Autonomous Underwater Vehicle[J]. Journal of Atmospheric and Oceanic Technology, 1999, 16(11):1533-1544.
[9] Goodman L , Wang Z . Turbulence Observations in the Northern Bight of Monterey Bay from a Small AUV[J]. Journal of Marine Systems, 2009, 77(4):441-458.
[10] Wolk F, Lueck R G, Laurent L S. Turbulence measurements from a glider[C]// IEEE, 2009.
[11] 马伟, 王延辉, 徐田雨. 微结构湍流测量水下滑翔机设计与试验研究[J]. 机械工程学报, 2017(9).
MA Wei, WANG Yan-hui，XU Tian-yu. Design and Sea Trials of the Underwater Glider for Micro-structure Turbulence Measurement[J]. JOURNAL OF MECHANICAL ENGINEERING, 2017(9).
[12] Goodman L , Levine E R , Lueck R G . On Measuring the Terms of the Turbulent Kinetic Energy Budget from an AUV[J]. Journal of Atmospheric and Oceanic Technology, 2006, 23(7):977-990.
[13] Sea & Sun Technology, Inc. PNS03/06 shear probes for microstructure measurements. http://www.isw-wasser.com/prandke/.
[14] Allen H J, Perkins E W. A study of effects of viscosity on flow over slender inclined bodies of revolution[J]. Technical Report Archive & Image Library, 1951.
[15] Osborn T R, Crawford W R. An Airfoil Probe for Measuring Turbulent Velocity Fluctuations in Water[M]. Air-Sea Interaction. Springer US, 1980:369-386.
[16] Box, J.A comparison of shear probe calibration facilities at the Universities of Victoria and Washington, Ocean Turbulence Laboratory.[J].University of Victoria, Centre for Earth and Ocean Research, Victoria B.C, 1992, Report No: 92-01.
[17] Prandke H, Pfeiffer K. Shear probe for use in operational microstructure measuring systems[C]// Oceans. IEEE, 1994.
[18] Taylor G I . Statistical theory of turbulence[J]. Proc Royal Society A, 2010, 9(4):273-282.
[19] Oakey N S . Determination of the rate of dissipation of turbulent energy from simultaneous temperature and velocity shear microstructure measurements[J]. J. Phys. Oceanogr. 1982, 12
[20] Creed E , Ross W , Lueck R , et al. Integration of a RSI microstructure sensing package into a Seaglider[C]// OCEANS 2015 - MTS/IEEE Washington. IEEE, 2016.
[21] Dhanak M R, Holappa K. An Autonomous Ocean Turbulence Measurement Platform[J]. Journal of Atmospheric & Oceanic Technology, 1999.
[22] Liu X , Luan X , Daniel Deng Z , et al. Autonomous Ocean Turbulence Measurements From a Moored Upwardly Rising Profiler Based on a Buoyancy-Driven Mechanism[J]. Marine Technology Society Journal, 2017, 51(4):12-22.
[23] 王永芳. 时, 频, 波数域下剪切湍流数据分析方法研究[D]. 青岛: 中国海洋大学, 博士学位论文,2014.
WANG Yong-fang. Research on analysis method of shear turbulence data in time, frequency and wavenumber domain Qingdao: Ocean University of China, Ph.D. thesis, 2014.